Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = 0.2 * weight + 4
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | REMIJN Senna | 68 |
| 4 | GIULIANO Dario | 63 |
| 6 | BUSH Jacob | 58 |
| 10 | SEIXAS Paul | 61 |
| 13 | DECOMBLE Maxime | 62 |
| 16 | FIETZKE Paul | 60 |
| 17 | AUGUST Andrew | 57 |
| 19 | PEACE Oliver | 64 |
| 20 | VAN DEN BROEK Axel | 69 |
| 22 | BARHOUMI Ilian Alexandre | 73 |
| 23 | WIDAR Jarno | 54 |
| 26 | SPARFEL Aubin | 59 |
| 30 | FOFONOV Artem | 70 |